Mladen Jovanovski

Speaker Details

Company:

IBM

Bio

Mladen Jovanovski is zAnalytics Client Technical Specialist at IBM Hybrid Cloud SEE & Central. He is a long time passionate data enthusiast with 30+ years of experience in integrating, storing and processing data with various technologies, from COBOL and hierarchical databases in 1980s, to Apache Spark and Machine Learning nowadays. He is also a proud Linux user since 1997, for all his personal and professional needs, with huge experience in Enterprise Linux deployments.

Leveraging machine learning technology, Db2 AI for z/OS collects data from the optimizer and execution history for Db2 for z/OS that are derived from workloads in your unique operating environment. It then finds patterns from this data and learns the optimal access paths for queries entering Db2 for z/OS as part of the model training process. Models trained and deployed from Db2 AI for z/OS are managed by the security-rich infrastructure in Machine Learning for z/OS, which gives defined users a window into the models’ performance metrics

IBM Db2 AI for z/OS empowers the optimizer in your Db2 for z/OS engine to determine the best-performing query access paths based on your workload characteristics. Leveraging machine learning technology, Db2 AI for z/OS collects data from the optimizer and execution history for Db2 for z/OS that are derived from workloads in your unique operating environment. It then finds patterns from this data and learns the optimal access paths for queries entering Db2 for z/OS as part of the model training process. Once trained, the models can be put into production to provide insights that help drive access path selection of the optimizer. Models trained and deployed from Db2 AI for z/OS are managed by the security-rich infrastructure in Machine Learning for z/OS, which also gives defined users a window into the models’ performance metrics.